

December 2025: OpenHUTB/nn delivered a cohesive autonomous navigation stack with end-to-end sensor fusion, real-time SLAM, and robust localization. The month focused on implementing a sensor data collection model simulating Lidar, IMU, and GNSS, with synchronization for visualization, along with a tightly coupled LiDAR-IMU odometry and a factor-graph optimization backend to improve navigation accuracy. A Global Localization and Navigation Suite was added, featuring modular PID control optimization, ROS packaging, and integration of LiDAR-IMU odometry, enabling robust global navigation and easier deployment. SLAM enhancements provided real-time mapping, sensor simulation, a user-friendly interface, PID optimization, and seamless module integration to boost performance. Multiple repo-level improvements, including Python-based ROS packaging and extensive documentation updates, enhanced deployment readiness and maintainability.
December 2025: OpenHUTB/nn delivered a cohesive autonomous navigation stack with end-to-end sensor fusion, real-time SLAM, and robust localization. The month focused on implementing a sensor data collection model simulating Lidar, IMU, and GNSS, with synchronization for visualization, along with a tightly coupled LiDAR-IMU odometry and a factor-graph optimization backend to improve navigation accuracy. A Global Localization and Navigation Suite was added, featuring modular PID control optimization, ROS packaging, and integration of LiDAR-IMU odometry, enabling robust global navigation and easier deployment. SLAM enhancements provided real-time mapping, sensor simulation, a user-friendly interface, PID optimization, and seamless module integration to boost performance. Multiple repo-level improvements, including Python-based ROS packaging and extensive documentation updates, enhanced deployment readiness and maintainability.
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